Papers
Fast OSCAR and OWL Regression via Safe Screening Rules
Runxue Bao, Bin Gu, Heng Huang
Feature-map-level Online Adversarial Knowledge Distillation
Inseop Chung, Seonguk Park, Jangho Kim et al.
Feature Noise Induces Loss Discrepancy Across Groups
Fereshte Khani, Percy Liang
Feature Quantization Improves GAN Training
Yang Zhao, Chunyuan Li, Ping Yu et al.
Feature Selection using Stochastic Gates
Yutaro Yamada, Ofir Lindenbaum, Sahand Negahban et al.
FedBoost: A Communication-Efficient Algorithm for Federated Learning
Jenny Hamer, Mehryar Mohri, Ananda Theertha Suresh
Federated Learning with Only Positive Labels
Felix Yu, Ankit Singh Rawat, Aditya Menon et al.
FetchSGD: Communication-Efficient Federated Learning with Sketching
Daniel Rothchild, Ashwinee Panda, Enayat Ullah et al.
Few-shot Domain Adaptation by Causal Mechanism Transfer
Takeshi Teshima, Issei Sato, Masashi Sugiyama
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
Meng Qu, Tianyu Gao, Louis-Pascal Xhonneux et al.
Fiduciary Bandits
Gal Bahar, Omer Ben-Porat, Kevin Leyton-Brown et al.
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
Edric Tam, David Dunson
Finding trainable sparse networks through Neural Tangent Transfer
Tianlin Liu, Friedemann Zenke
Fine-Grained Analysis of Stability and Generalization for Stochastic Gradient Descent
Yunwen Lei, Yiming Ying
Finite-Time Convergence in Continuous-Time Optimization
Orlando Romero, Mouhacine Benosman
Finite-Time Last-Iterate Convergence for Multi-Agent Learning in Games
Tianyi Lin, Zhengyuan Zhou, Panayotis Mertikopoulos et al.
Flexible and Efficient Long-Range Planning Through Curious Exploration
Aidan Curtis, Minjian Xin, Dilip Arumugam et al.
Forecasting Sequential Data Using Consistent Koopman Autoencoders
Omri Azencot, N. Benjamin Erichson, Vanessa Lin et al.
FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha, Matthew O’Kelly, Hongrui Zheng et al.
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh, Krishna Balasubramanian, Xiaochuan Yang
Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise
Umut Simsekli, Lingjiong Zhu, Yee Whye Teh et al.
Frequency Bias in Neural Networks for Input of Non-Uniform Density
Ronen Basri, Meirav Galun, Amnon Geifman et al.
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Ahmed Alaa, Mihaela Van Der Schaar
From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics
Sai Ganesh Nagarajan, David Balduzzi, Georgios Piliouras
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
Dimitris Tsipras, Shibani Santurkar, Logan Engstrom et al.